Kernel optimum nearly-analytical discretization (KOND) algorithm applied to parabolic and hyperbolic equations
Two applications of the kernel optimum nearly-analytical discretization (KOND) algorithm to parabolic and hyperbolic type equations are presented in detail to lead to novel numerical schemes with very high numerical accuracy. It is demonstrated numerically that the two-dimensional KOND-P scheme for the parabolic type yields much less numerical error by over 2- 3 orders, measured quantitatively by the root mean square deviation from analytic solutions, and reduces the CPU time to about 1/5 for a common numerical accuracy, compared with the conventional explicit scheme of reference. It is also demonstrated numerically that the KOND-H scheme for the hyperbolic type yields much less diffusive error and has fairly high stability for both the linear and the nonlinear wave propagation compared with other conventional schemes. Origins of numerical errors in data processing in general numerical schemes are discussed.
kernel optimum nearly-analytical discretization algorithm
scientific article; zbMATH DE number 571514
scientific article